Mohak Chadha’s proposal on “FedLessExit: Leveraging Early Exiting for Client Model Personalization in Serverless Federated Learning” has been accepted…
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The paper by Roman Karlstetter, Robert WIdhopf-Fenk and Martin Schulz, a joint work of IfTA GmbH and CAPS, proposes an approach for retrieving sensor…
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Seit vielen Jahren hält Herr Hüttl von der MTU die Vorlesung "eLearning -Techniken und Infrastrukturen"
im Rahmen eines Lehrauftrages in Kooperation…
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In this work, we designed a tool called SLAM to determine the optimal memory configuration for the given serverless application based on the specified…
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